Senior Scientist, Neuroscience, Immunology, and CV (NIC) Translational Informatics and Predictive Sciences
Bristol Myers Squibb
June 26, 2026
Remote friendly (Princeton, NJ)
United States
IT
Key Responsibilities
- Analyze high-dimensional datasets from late-stage clinical trials and multi-modal real-world datasets (commercial partners, consortiums, public resources).
- Work with clinical data (ADaM/SDTM), high-throughput proteomics (e.g., Olink), RNA-Seq, epigenetics, and multiplex flow cytometry.
- Perform deep analyses to understand disease mechanisms/patient heterogeneity; identify non-responders; generate hypotheses for drug differentiation, combination strategies, and new indications.
- Optimize reverse translation by applying late-stage clinical data to inform early-stage trials and the discovery pipeline (with cross-functional R&D teams).
- Communicate findings (1:1, seminars, team meetings); participate in authorship and present to publishable standards.
Basic Qualifications
- Bachelor’s + 6+ years experience, or Master’s + 4+ years experience, or PhD + 2+ years experience in computational biology or related field.
Preferred Qualifications
- PhD in a quantitative field (computational biology or related).
- Experience with interventional trial clinical data integration (ADaM/SDTM), biomarkers, longitudinal assessments; predictive/prognostic/surrogate biomarker identification.
- Experience integrating multi-omics and single-cell/spatial datasets.
- Advanced hands-on R or Python for computational/reproducible research.
- Experience with AI-assisted coding tools and applying AI/ML to translational problems.
- Strong oral/written communication; publications/track record.
Compensation/Benefits (as stated)
- Cambridge Crossing: $148,210–$179,601; Princeton/NJ: $128,890–$156,179.
- Benefits include health coverage, wellbeing support, 401(k), disability/life/insurance, and paid time off.
Application Instructions
- If the role doesn’t perfectly match your resume, apply anyway.
- Analyze high-dimensional datasets from late-stage clinical trials and multi-modal real-world datasets (commercial partners, consortiums, public resources).
- Work with clinical data (ADaM/SDTM), high-throughput proteomics (e.g., Olink), RNA-Seq, epigenetics, and multiplex flow cytometry.
- Perform deep analyses to understand disease mechanisms/patient heterogeneity; identify non-responders; generate hypotheses for drug differentiation, combination strategies, and new indications.
- Optimize reverse translation by applying late-stage clinical data to inform early-stage trials and the discovery pipeline (with cross-functional R&D teams).
- Communicate findings (1:1, seminars, team meetings); participate in authorship and present to publishable standards.
Basic Qualifications
- Bachelor’s + 6+ years experience, or Master’s + 4+ years experience, or PhD + 2+ years experience in computational biology or related field.
Preferred Qualifications
- PhD in a quantitative field (computational biology or related).
- Experience with interventional trial clinical data integration (ADaM/SDTM), biomarkers, longitudinal assessments; predictive/prognostic/surrogate biomarker identification.
- Experience integrating multi-omics and single-cell/spatial datasets.
- Advanced hands-on R or Python for computational/reproducible research.
- Experience with AI-assisted coding tools and applying AI/ML to translational problems.
- Strong oral/written communication; publications/track record.
Compensation/Benefits (as stated)
- Cambridge Crossing: $148,210–$179,601; Princeton/NJ: $128,890–$156,179.
- Benefits include health coverage, wellbeing support, 401(k), disability/life/insurance, and paid time off.
Application Instructions
- If the role doesn’t perfectly match your resume, apply anyway.